ArticleElectronic physician2016
Factors affecting length of stay in teaching hospitals of a middle-income country.
Article in Electronic physician, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Trial
- Efficacy of probiotic and synbiotic supplementation on the length of hospital stays and risk of postoperative mortality in patients undergoing surgery: an umbrella review of systematic reviews and meta-analyses of randomized clinical trials.European journal of medical research · 2026Review
- Prediction of prolonged length of stay from first 2 days of hospitalization data: a SHAP value-based variable selection method for a simplified model.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025Article
- Strategies to Reduce Hospital Length of Stay: Evidence and Challenges.Medicina (Kaunas, Lithuania) · 2025Review
- Unraveling the Length of Hospital Stay for Patients with Urinary Tract Infections: Contributing Factors and Microbial Susceptibility.Antibiotics (Basel, Switzerland) · 2025Article
- Length of hospital stays after caesarean section delivery and associated factors in Northeast Ethiopia: a cross-sectional study.BMJ open · 2025Article
- Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation.BMC medical informatics and decision making · 2024Article
- Assessing the Prognostic Utility of the New Mayo Adhesive Probability Score in East Asian Populations and its Correlation with Metabolic-Associated Fatty Liver Disease.Physiological research · 2024Article
- Article
- Predicting the Length of Stay of Cardiac Patients Based on Pre-Operative Variables-Bayesian Models vs. Machine Learning Models.Healthcare (Basel, Switzerland) · 2024Article
- Article
- Which Demographic and Clinical Characteristics Can Better Predict the Length of Hospital Stay among Traumatic Patients? A Retrospective Single-Center, Registry-Based Study.Medical journal of the Islamic Republic of Iran · 2024Article
- Article
- Network analytics and machine learning for predicting length of stay in elderly patients with chronic diseases at point of admission.BMC medical informatics and decision making · 2022Article
- Glucose dysregulation and its association with COVID-19 mortality and hospital length of stay.Diabetes & metabolic syndrome · 2022Article
- Association of Socio-Demographic and Climatic Factors with the Duration of Hospital Stay of Under-Five Children with Severe Pneumonia in Urban Bangladesh: An Observational Study.Children (Basel, Switzerland) · 2021Article
- Comparison of clinical characteristics and outcomes between alcohol-induced and gallstone-induced acute pancreatitis: An Australian retrospective observational study.SAGE open medicine · 2021Article
- Prediction of general medical admission length of stay with natural language processing and deep learning: a pilot study.Internal and emergency medicine · 2020Article
- Predicting Inpatient Length of Stay in Iranian Hospital: Conceptualization and Validation.Asian Pacific journal of cancer prevention : APJCP · 2020Article
- Assessment of appropriateness of hospitalisations in Ukraine: analytical framework, method and findings.BMJ open · 2019Article
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Authors and funding
6 authors.
Funding
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Abstract
introductionThe length of stay (LOS) in hospitals is a widely used and important criteria for evaluating hospital performance. The aim of this study was to determine factors affecting LOS in teaching hospitals of Qazvin Providence.
methodsIn this cross-sectional study, patients' health records were randomly selected from archives in teaching hospitals of Qazvin in 2013. Data were collected through a data entry form and were analyzed using Kolmogorov-Smirnov, Kruskal-Wallis, and Mann-Whitney U tests at the significant level of 0.05.
resultsThe mean of hospital LOS was 5.45 ± 6.14 days. Age, employment, marital status, history of previous admission, patient condition at discharge, method of payment, and type of treatment had an impact on LOS (p<0.05). Other factors, including gender, place of residence, and type of admission, did not affect LOS.
conclusionBecause hospitals consume a perceptible part of resources in a health system, controlled and optimized use of its resources help to save a lot. Therefore, this study showed many clinical and nonclinical factors affect LOS in evaluating these factors, which may reduce inappropriate hospital stays and decrease costs.
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